Computer Science – Learning
Scientific paper
Oct 2010
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010dps....42.2723e&link_type=abstract
American Astronomical Society, DPS meeting #42, #27.23; Bulletin of the American Astronomical Society, Vol. 42, p.1064
Computer Science
Learning
Scientific paper
Where once the discovery of exoplanets was a dream, we are now past the threshold of learning about their properties, at least in a few cases. With the correct choice of instruments to study exoplanets, it is possible to discover properties spanning the range from the core of the planet through its interior and atmosphere to its magnetosphere.
No one instrument on the ground or in space can collect the data necessary to characterize an exoplanet at all its levels. But with judicious choices of instruments, the interdependencies limiting characterization of an exoplanet's properties disappear and many details are learned. This presentation illustrates the breadth of planetary properties that can be determined when a selection of instruments is available for investigations.
Wes Traub laid the foundation for the charts presented. The contributions of a large number of researchers in the growing field of exoplanet research are acknowledged. Much of this work grew out of the efforts of participants in the Exoplanet Community Report (Lawson, Traub, & Unwin, 2009, JPL Publication 09-3, 3/09).
The research described was carried out by the Jet Propulsion Laboratory, Caltech, which is under contract with NASA. Copyright 2010 California Institute of Technology. Government sponsorship acknowledged.
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